code: def __init__(self, id_score_list_feature_ids) -> None:
      self.id_score_list_feature_ids = id_score_list_feature_ids
  
file_path: ReAgent/reagent/preprocessing/sparse_to_dense.py
imports: from collections import defaultdict
  from typing import Dict, List, Tuple
  import torch
  from reagent.preprocessing import normalization
label_desc: Use image node_id 1 to create a new PythonIdScoreListToTensorProcessor object  with example: obj = PythonIdScoreListToTensorProcessor(id_score_list_feature_ids)